- Collection, optimization and testing of new data analysis workflows and pipelines.
- Basic statistics and quality assessment of sequencing outputs, quality trimming, removal of artifacts, read merging, etc.
- Secondary data analysis using in-house standardized pipelines (the portfolio will increase in time):
- Genome assembly and annotation;
- Transcriptome assembly and annotation;
- Resequencing, read mapping and variant detection;
- Differential expression analysis and expression profiling;
- Prediction of therapeutical effects of small molecules (Connectivity map concept);
- Metagenomic analysis;
- Phylogenetic analysis;
- Analysis of SELEX, Ribosome display or Phague display libraries.
- Custom data analysis based on existing standardized pipelines (e.g. workflows from literature).
- Preparation of publication ready outputs in biopython and/or R.